As a candidate, I’ve interviewed at a dozen big companies and startups. I’ve got offers for machine learning roles at companies including Google, NVIDIA, Snap, Netflix, Primer AI, and Snorkel AI. I’ve also been rejected at many other companies. As an interviewer, I’ve been involved in designing and executing the hiring process at NVIDIA and…
What are Type I and Type II Errors? In statistical hypothesis testing, researchers use tests to make inferences about a population based on sample data. However, as with any process of decision-making, mistakes can occur. Two common types of errors in hypothesis testing are Type I and Type II errors. Understanding these errors is crucial…
Introduction The Central Limit Theorem (CLT) is one of the cornerstones of statistical theory and a powerful concept in probability. This theorem explains why the normal distribution appears so often in real-world data, even when the original data doesn’t follow a normal distribution. Understanding CLT is crucial for statisticians, data analysts, and anyone working with…
